Prediction of compressive strength of two-stage (preplaced aggregate) concrete using gene expression programming and random forest

Prediction of compressive strength of two-stage (preplaced aggregate) concrete using gene expression programming and random forest

The aim of this research is to predict preplaced-aggregate concrete (PAC) compressive strength (CS) by using machine learning approaches such as gene expression programming (GEP) and random forest (RF). PAC requires injecting a portland cement-sand grout with admixtures into a mold after coarse aggr...

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Bibliographic Details
Main Authors: Hisham Jahangir Qureshi, Mana Alyami, R. Nawaz, Ibrahim Y. Hakeem, Fahid Aslam, Bawar Iftikhar, Yaser Gamil
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Case Studies in Construction Materials
Subjects:
Preplaced-aggregate concrete
Two-stage concrete
Compressive strength
Machine learning
Sustainability
Environment
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509523007611

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http://www.sciencedirect.com/science/article/pii/S2214509523007611

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